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Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
NAACL 2024
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
NIPS 2024
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ?
NAACL 2024
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction
NAACL 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification
NAACL 2024
Investigating grammatical abstraction in language models using few-shot learning of novel noun gender
EACL 2024
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
EACL 2024
Large Language Models for Mathematical Reasoning: Progresses and Challenges
EACL 2024
MediFact at MEDIQA-CORR 2024: Why AI Needs a Human Touch
NAACL 2024
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
EMNLP 2024
Small Language Models Improve Giants by Rewriting Their Outputs
EACL 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
NIPS 2024
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis
EACL 2024
LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings
EACL 2024
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction
NAACL 2024
NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense
NAACL 2024
Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation
NAACL 2024
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches
NAACL 2024
Kardeş-NLU: Transfer to Low-Resource Languages with the Help of a High-Resource Cousin – A Benchmark and Evaluation for Turkic Languages
EACL 2024
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
NAACL 2024
Using Large Language Models to Assess Young Students’ Writing Revisions
NAACL 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
NAACL 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check
NAACL 2024
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking
EACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
NAACL 2024
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